Model Comparison
GLM-5 vs MiMo-V2-FlashWhich is better in 2026?
GLM-5 significantly outperforms across most benchmarks. MiMo-V2-Flash is 10.3x cheaper per token.
Verdict: GLM-5 vs MiMo-V2-Flash — which is better?
GLM-5 (by Zhipu AI) and MiMo-V2-Flash (by Xiaomi) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.
GLM-5 outperforms in 3 benchmarks (BrowseComp, SWE-Bench Verified, Terminal-Bench 2.0), while MiMo-V2-Flash is better at 0 benchmarks. GLM-5 significantly outperforms across most benchmarks.
On price, MiMo-V2-Flash is roughly 10.3x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
MiMo-V2-Flash also accepts a larger context window (256,000 input tokens), making it the stronger choice for long documents and large codebases.
Choose GLM-5 if…
- you want the strongest raw capability — it leads on 3 of 3 shared benchmarks
- you want the most recent training data — it shipped Feb 2026
Choose MiMo-V2-Flash if…
- cost matters — it's about 10.3x cheaper per token
- you process long inputs — it offers a 256,000 token context window
Performance Benchmarks
Comparative analysis across standard metrics
GLM-5 outperforms in 3 benchmarks (BrowseComp, SWE-Bench Verified, Terminal-Bench 2.0), while MiMo-V2-Flash is better at 0 benchmarks.
GLM-5 significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, GLM-5 ($1.00/1M tokens) is 10.0x more expensive than MiMo-V2-Flash ($0.10/1M tokens).
For output processing, GLM-5 ($3.20/1M tokens) is 10.7x more expensive than MiMo-V2-Flash ($0.30/1M tokens).
In conclusion, GLM-5 is more expensive than MiMo-V2-Flash.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
GLM-5 has 435.0B more parameters than MiMo-V2-Flash, making it 140.8% larger.
Context Window
Maximum input and output token capacity
MiMo-V2-Flash accepts 256,000 input tokens compared to GLM-5's 200,000 tokens. GLM-5 can generate longer responses up to 128,000 tokens, while MiMo-V2-Flash is limited to 16,384 tokens.
License
Usage and distribution terms
Both models are licensed under MIT.
Both models share the same licensing terms, providing consistent usage rights.
MIT
Open weights
MIT
Open weights
Release Timeline
When each model was launched
GLM-5 was released on 2026-02-11, while MiMo-V2-Flash was released on 2025-12-16.
GLM-5 is 2 months newer than MiMo-V2-Flash.
Feb 11, 2026
3 months ago
1mo newerDec 16, 2025
5 months ago
Knowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
GLM-5 is available from FriendliAI, ZAI. MiMo-V2-Flash is available from Xiaomi.
GLM-5
MiMo-V2-Flash
Outputs Comparison
Key Takeaways
GLM-5
View detailsZhipu AI
Detailed Comparison
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FAQ
Common questions about GLM-5 vs MiMo-V2-Flash.